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Hardware Reliability Engineer, Global Hardware Reliability Engineering
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $144,000-$209,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Lead analysis of system hardware designs to enable proactive design evaluations and product de-risk at an early stage of development.
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Lead system reliability efforts by working with other organizations to define reliability goals and reliability plans, securing the resources needed to execute the plan.
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Implement the reliability plan and lead all efforts to assess and mitigate risk of failure early during New Product Introduction (NPI).
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Drive reliability test plans and collect, analyze, and synthesize the test data to enable verification of the design reliability goals.
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Lead system reliability monitoring efforts (availability, repair trends) and proactively alert product teams on unwanted system behavior, working on mitigation strategy definition and implementation.
Minimum qualifications
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Bachelor's degree in Reliability, Electrical, Industrial, or Mechanical Engineering, or equivalent practical experience.
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8 years of experience in manufacturing with failure analysis and fault isolation techniques and how to apply them to find root causes of failure.
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Experience leading cross-functional teams using practical approaches.
Preferred qualifications
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Master's degree or PhD in Reliability, Electrical, Industrial, pr Mechanical Engineering, or equivalent practical experience.
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Experience with system level reliability tools such as Reliability Block Diagrams (RBDs), Mean Cumulative Function (MCF), Homogeneous and Non-Homogeneous Poisson Processes (HPP, NHPP), and simulation tools.
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Experience with failure analysis and fault isolation techniques and how to apply them to find root causes of failure.
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Experience with statistics and JMP.
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Ability to manage Contract Manufacturers (CMs) reliability support during NPI and sustaining through measurable metrics.
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Ability to work on continuous improvement of the metrics.
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Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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